Ctrip Technology
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Ctrip Technology

Official Ctrip Technology account, sharing and discussing growth.

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Latest from Ctrip Technology

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Ctrip Technology
Ctrip Technology
Jun 15, 2023 · Databases

Rebuilding Ctrip Train Ticket Metrics Platform with StarRocks: Architecture, Data Synchronization, and Performance Gains

The article details how Ctrip's train ticket business revamped its multi‑engine OLAP metrics platform by consolidating to the StarRocks MPP database, describing the new architecture, query workflow, data synchronization strategies, practical lessons, and the resulting dramatic improvement in query latency and reliability.

ETLMetrics PlatformSQL
0 likes · 15 min read
Rebuilding Ctrip Train Ticket Metrics Platform with StarRocks: Architecture, Data Synchronization, and Performance Gains
Ctrip Technology
Ctrip Technology
Jun 15, 2023 · Fundamentals

Causal Inference Theory and Its Business Applications in Ctrip Train Ticket Operations

This article introduces the fundamental concepts and theoretical frameworks of causal inference, explains Rubin's potential outcomes and Pearl's causal graph models, and demonstrates their practical deployment through uplift modeling, propensity‑score matching, synthetic control, and regression‑discontinuity case studies within Ctrip's train ticket business.

Propensity Score Matchingbusiness analyticsregression discontinuity
0 likes · 15 min read
Causal Inference Theory and Its Business Applications in Ctrip Train Ticket Operations
Ctrip Technology
Ctrip Technology
Jun 8, 2023 · Frontend Development

Optimizing CSS Animation Performance: Techniques and Best Practices

This article explains how to improve CSS animation performance by understanding the browser rendering pipeline, using GPU‑accelerated transforms, avoiding costly properties and complex selectors, leveraging will‑change and requestAnimationFrame, and preferring CSS over JavaScript for smoother, lower‑latency visual effects.

CSSGPUOptimization
0 likes · 13 min read
Optimizing CSS Animation Performance: Techniques and Best Practices
Ctrip Technology
Ctrip Technology
Jun 1, 2023 · Backend Development

Optimizing Microservice Timeout Issues: Analysis and Practical Solutions

This article examines common timeout problems in microservice architectures, identifies root causes such as connection and socket timeouts, and presents ten practical optimization techniques—including setting appropriate timeouts, rate limiting, cache improvements, thread‑pool tuning, GC and JIT adjustments, NIO async programming, host migration, and network checks—to enhance system stability and performance.

Backend PerformanceCachingGC Tuning
0 likes · 21 min read
Optimizing Microservice Timeout Issues: Analysis and Practical Solutions
Ctrip Technology
Ctrip Technology
Jun 1, 2023 · Frontend Development

Cross‑Platform Shared Web Components: Architecture, Implementation, and Host Integration

This article describes a cross‑platform solution that enables a single set of Web component code to be shared across Native, React Native, and mini‑program environments by leveraging Web Components, environment‑aware builds, and bridge communication, thereby reducing development effort and accelerating release cycles.

NativeReactfrontend development
0 likes · 14 min read
Cross‑Platform Shared Web Components: Architecture, Implementation, and Host Integration
Ctrip Technology
Ctrip Technology
May 25, 2023 · Artificial Intelligence

Graph-Based Unsupervised Model for Detecting Malicious Account Clusters in Registration Risk Control

This article presents a graph‑neural‑network driven, unsupervised approach that builds heterogeneous user‑feature graphs, learns node weights, constructs user‑user similarity graphs, and applies threshold‑based clustering to identify abnormal registration clusters for fraud detection in Ctrip's business travel platform.

Graph Neural NetworkUnsupervised Learninganomaly detection
0 likes · 12 min read
Graph-Based Unsupervised Model for Detecting Malicious Account Clusters in Registration Risk Control
Ctrip Technology
Ctrip Technology
May 18, 2023 · Artificial Intelligence

LSTM‑Based Advertising Inventory Forecasting with Embedding and Incremental Training at Ctrip

This article presents Ctrip's end‑to‑end solution for precise ad‑inventory forecasting using an LSTM model combined with entity embedding, covering data preprocessing, K‑means clustering, model architecture, offline‑online incremental training, early‑stop mechanisms, evaluation metrics, and Python service deployment.

EmbeddingLSTMPyTorch
0 likes · 19 min read
LSTM‑Based Advertising Inventory Forecasting with Embedding and Incremental Training at Ctrip